\begin{table}[h!]
\centering
\caption{Elite Interviewee Gender and Response Rate}
\centering
\begin{tabular}[t]{lcc}
\toprule
& \multicolumn{2}{c}{\textit{Dependent Variable}}\\
  & Interview Scheduled & Email Response\\
\midrule
Elite Gender & \num{0.376} & \num{0.160}\\
 & (\num{0.265}) & (\num{0.202})\\
Treatment Assignment & \num{-0.414} & \num{-0.290}\\
 & (\num{0.257}) & (\num{0.199})\\
\midrule
Num.Obs. & \num{173} & \num{173}\\
\bottomrule
\multicolumn{3}{l}{\rule{0pt}{1em}* p $<$ 0.1, ** p $<$ 0.05, *** p $<$ 0.01}\\
\end{tabular}
\begin{quote}
    \footnotesize \textit{Note:} This table shows the probit regression results to understand how elite gender affected response rate. The independent variable is the elite gender -- 1 if male and 0 if female. The first model uses the dependent variable of whether the elite scheduled and attended an interview, taking the value of 1 if yes, 0 if not. The second model uses the dependent variable of whether the elite responded to the email, taking the value of 1 if yes and 0 if not.
\end{quote}
\label{a2}
\end{table}
